Feed Forward Neural Network and Optimal Control Problem with Control and State Constraints

Journal Article · Wed Sep 09 00:00:00 EDT 2009 · AIP Conference Proceedings

DOI:https://doi.org/10.1063/1.3241501· OSTI ID:21325559

Kmet', Tibor ^[1]; Kmet'ova, Maria ^[2]

---

1. Department of Informatics, Constantine the Philosopher University, Tr. A. Hlinku 1, 949 74 Nitra (Slovakia)
2. Department of Mathematics, Constantine the Philosopher University, Tr. A. Hlinku 1, 949 74 Nitra (Slovakia)

A feed forward neural network based optimal control synthesis is presented for solving optimal control problems with control and state constraints. The paper extends adaptive critic neural network architecture proposed by [5] to the optimal control problems with control and state constraints. The optimal control problem is transcribed into a nonlinear programming problem which is implemented with adaptive critic neural network. The proposed simulation method is illustrated by the optimal control problem of nitrogen transformation cycle model. Results show that adaptive critic based systematic approach holds promise for obtaining the optimal control with control and state constraints.

• OSTI ID: 21325559
• Journal Information: AIP Conference Proceedings, Vol. 1168, Issue 1; Conference: International conference on numerical analysis and applied mathematics 2009, Rethymno, Crete (Greece), 18-22 Sep 2009; Other Information: DOI: 10.1063/1.3241501; (c) 2009 American Institute of Physics; Country of input: International Atomic Energy Agency (IAEA); ISSN 0094-243X
• Country of Publication: United States
• Language: English

Related Subjects

99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
COMPUTER ARCHITECTURE
NEURAL NETWORKS
NITROGEN
NONLINEAR PROGRAMMING
NUMERICAL ANALYSIS
OPTIMAL CONTROL
PROBABILITY
SIMULATION
TRANSFORMATIONS